关于机械手的英语专业论文.pdf

Journal of Manufacturing Systems Vol. 14/No. 4 1995 Fuzzy Clustering Procedure for Evaluation and Selection of Industrial Robots Moutaz Khouja, University of North Carolina-Charlotte, Charlotte, North Carolina David E. Booth, Kent State University, Kent, Ohio Abstract ity. Industry-wide standards for measuring these Industrial robots are increasingly used by many manufac- parameters are not yet fully established; however, turing firms. The number of robot manufacturers has also improved methods for analyzing robot performance increased, with many now offering a wide range of robots. A potential user isfaced with many options in both performance are being developed.6 and cost. This paper proposes a decision model for the robot Accuracy and repeatability are among the most selection problem using fuzzy cluster analysis. Unlike most important but often-confused robot engineering other models for robot selection, this model considers the attributes. !7 Repeatability is a measure of the ability fact that a robots performance, as specified by the manufac- turer, is often unobtainable in reality. Robots selected by the of the robot to return to the same point. Suppose the proposed model become candidates for factory testing to robots end effector touches a set of n points, with verify manufacturers specifications. The proposed model is the centroid at point c, as it repeatedly attempts to tested on a real data set, and an example is presented. touch the command point, p. Statistically, repeata- Keywords: Indust